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Record W2580322677 · doi:10.4000/vertigo.18085

Les mégaprojets hydriques de l’ouest étasunien : histoire d’État(s) et gestion des ressources naturelles

2016· article· fr· W2580322677 on OpenAlexvenueno aff
Joan Cortinas Muñoz, Brian O’Neill, Franck Poupeau

Bibliographic record

VenueVertigO · 2016
Typearticle
Languagefr
FieldEnvironmental Science
TopicAmerican Environmental and Regional History
Canadian institutionsnot available
Fundersnot available
KeywordsPolitical scienceHumanitiesGeographyArt

Abstract

fetched live from OpenAlex

Cet article propose une approche originale de l’histoire des politiques hydriques dans l’Ouest des États-Unis. En reconstituant la genèse et la mise en œuvre des mégaprojets (barrages, canaux, etc.) depuis le XXe siècle, il montre que ces politiques ne peuvent pas plus se résumer à une succession de protestations de populations locales soucieuses de préserver leur environnement ni à l’hégémonie incontestée des élites nationales et locales. Cette histoire met en avant le rôle joué par une architecture institutionnelle complexe et s’attache en particulier aux profils socio-professionnels des protagonistes influents dans le champ administratif où s’élaborent les politiques hydriques. De ce point de vue, l’histoire des politiques hydriques apparaît comme intimement liée au développement de l’État américain. Sa reconstitution a utilisé une pluralité de sources (revue de la littérature, collecte d’informations et de données secondaires, archives des protagonistes des conflits, littérature grise) ; elle s’appuie aussi sur des informations collectées à partir d’entretiens menés avec les responsables, anciens ou actuels, d’institutions publiques ou privées liés à la gestion de l’eau en Arizona.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.781
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.010
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.015
GPT teacher head0.222
Teacher spread0.207 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations10
Published2016
Admission routes1
Has abstractyes

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Same venueVertigOSame topicAmerican Environmental and Regional HistoryFrench-language works237,207